About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Solid Reference Data a Prerequisite For Liquidity Management Success

Subscribe to our newsletter

If you thought the heady world of automated trading, dark pools and liquidity fragmentation under MiFID and RegNMS had little effect on the humble reference data function, then you thought wrong, it seems. A recent research note from analyst Tabb Group identifies a growing need for sell side firms to establish comprehensive liquidity management functions, and warns that not having the requisite integrated, enterprise wide reference data infrastructure in place could represent a real spanner in the works.

According to the paper, Liquidity Management: Pushing Automated Trading Beyond Agency Brokerage, although order management and execution management systems are important components in the electronic trading process, they do not address the way brokers interact with order flow, how sell side traders decide to leverage capital or how firms develop consistent valuation and trading strategies across non-exchange traded products. This creates the need for liquidity management.

“A solid reference data infrastruc-ture is important as a firm begins to centralize its execution model,” the paper continues. “If the firm does not have tight control over its reference data, as it begins to combine order flow from different channels or trade products across asset classes, its ability to link, price and accurately trade these products will be impaired.” For example, it says, when trading the capital structure of a corporation, a firm needs to understand the relation-ship and pricing between equity, equity options, corporate bonds and credit default swaps, so it can properly value and trade these products.
The Tabb research note contends that “while firms traditionally have a good grasp of their market data”, their reference data infrastructure “is a bit more problematic”. “The challenge lies in obtaining the vast selection of reference data for over-the-counter and non-exchange-traded products, as there are few centralized authorities that provide a comprehensive selection of this information.” The challenge is compounded by the fact that as soon as a good centralized reference data source is developed, the investment bank will develop new and more complex products that “were not envisioned when developing the original model”.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Executing the Migration to Cloud to Enable Scalability and Innovation

Date: 22 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Cloud-based services and processing have become essential to financial institutions as their data management demands have become more complex and expansive. Thousands of organisations have made the jump from their limited on-premises tech stacks to the near-infinite scalability opportunities...

BLOG

GoldenSource Scout Launched to ‘Close Data Trust Gap’ Using AI

Data management provider GoldenSource has entered the next phase of its evolution with the launch of GoldenSource Scout, an AI platform for capital markets built on the firm’s Trusted Contextual Data Layer, which grounds enterprise AI in governed, canonical data. The launch marks a significant shift towards AI within the firm’s data management ecosystem. Swati...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...